Expertise
Technology is how an experience gets into the world, not the point of it. This is the ecosystem we work in, organised by what each tool lets people do.
Taxonomy
Six ways to describe one studio
Clients and search engines use different words for the same practice. All of these describe VeleStudio accurately.
- XR development studio
- AR, VR and mixed reality applications for phones, tablets and headsets.
- Creative technology studio
- Experiences that combine software, sensing, space and story.
- Interaction design studio
- Behaviour, feedback and affordances for spatial and embodied interfaces.
- Immersive experience studio
- Installations, location-based and headset experiences for culture, brands and events.
- Unity development studio
- C# and Unity for XR, real-time 3D, digital twins and installations.
- Spatial computing studio
- Interfaces for devices that understand and operate in physical space.
01
XR platforms
The runtimes and SDKs that put an experience on a headset, a phone or a tablet.
- Unity
- Our primary engine for AR, VR and mixed-reality applications and installations.
- Unreal Engine
- High-fidelity real-time environments and cinematic VR when visual quality leads.
- AR Foundation
- One Unity codebase for ARKit and ARCore devices.
- ARKit
- iOS tracking, scene understanding, people occlusion and LiDAR depth.
- ARCore
- Android tracking, depth and the Geospatial API.
- ARCore Geospatial API
- World-scale anchors from Google's Visual Positioning System, accurate to the street.
- OpenXR
- Portable headset input and rendering across Quest, PC VR and enterprise devices.
- Meta Quest SDK
- Passthrough mixed reality, hand tracking and scene anchors on Quest 3 and Quest Pro.
- visionOS
- Spatial apps for Apple Vision Pro using RealityKit, SwiftUI and Unity PolySpatial.
- WebXR
- Browser-based AR and VR when there is nothing to install.
- 8th Wall
- Web AR with world tracking and image targets for campaigns and sites.
02
Artificial intelligence
Models and services we connect to spatial experiences so they can see, listen, reason and respond.
- Large language models
- Conversational guides, adaptive narratives and agents that explain what the camera sees.
- Computer vision
- Object, image and scene recognition that anchors content to the physical world.
- Speech recognition & synthesis
- Hands-free interaction in headsets and installations.
- Generative AI
- Procedural content, imagery and audio generated in response to people and places.
- On-device ML
- Core ML, TensorFlow Lite and Unity Sentis for low-latency inference without a server.
03
Development
Languages and frameworks behind the engines, companion apps and back ends.
- C#
- Unity application logic, tooling and editor extensions.
- C++
- Performance-critical code, native plugins and Unreal.
- TypeScript
- Web experiences, companion dashboards, WebXR and WebGL.
- JavaScript
- Browser interactivity and lightweight installation front ends.
- Flutter
- Cross-platform companion and content-management apps.
- WebGL
- Interactive 3D in the browser without plugins.
- Three.js
- Browser-based 3D scenes and spatial interfaces.
- Next.js
- Fast, indexable websites that host or complement an experience.
- Firebase
- Authentication, real-time data and hosting for connected experiences.
- Node.js
- APIs, orchestration between AI services and devices.
- Python
- Prototyping computer-vision pipelines and data processing.
04
Interaction & sensing
How an experience knows where people are and what they are doing.
- Depth cameras
- Azure Kinect, Intel RealSense and LiDAR for body and room tracking.
- Hand & body tracking
- Controller-free input in headsets and in front of screens.
- Eye tracking
- Attention-aware interfaces on supported headsets.
- Projection mapping
- Turning architecture and objects into displays.
- Microcontrollers & sensors
- Arduino, ESP32 and industrial sensors for tangible interfaces.
- TouchDesigner
- Real-time media pipelines and signal routing for installations.
- OSC / MQTT
- Low-latency messaging between sensors, engines and lights.
05
Spatial data & 3D
Making real places and objects available to real-time software.
- Photogrammetry
- Capturing artefacts, rooms and sites as textured 3D models.
- 3D scanning
- LiDAR and structured-light capture for digital twins.
- Blender
- Modelling, optimisation and look development for real-time assets.
- glTF / USD
- Open 3D formats for pipelines that must outlive a single engine.
- GIS data
- OpenStreetMap, cadastral and custom datasets as the ground truth for geospatial AR.
- Mapbox / Google Maps Platform
- Base maps, routing and 3D tiles for location-aware experiences.
- Cesium
- Streaming global 3D geospatial data into Unity and the web.
Where this technology is applied
Next step
Not sure which technology fits your idea?
That is usually the first question we answer. Tell us about the place and the audience and we will say what we would use, and why.
Prefer email? mrerfansol@gmail.com